Triple
T22666610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Poisson process |
E559807
|
entity |
| Predicate | hasInterarrivalDistribution |
P9754
|
FINISHED |
| Object | exponential distribution |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: exponential distribution | Statement: [Poisson process, hasInterarrivalDistribution, exponential distribution]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInterarrivalDistribution Context triple: [Poisson process, hasInterarrivalDistribution, exponential distribution]
-
A.
supportsTimeDistribution
Indicates that one entity provides or enables the allocation, scheduling, or distribution of time-related resources or events for another entity.
-
B.
hasDistributionFunction
chosen
Indicates that an entity is associated with a specific distribution function that characterizes how its values or occurrences are probabilistically or statistically distributed.
-
C.
isExponentialDistribution
Indicates that a given random variable or dataset follows an exponential probability distribution, typically characterized by a constant hazard rate and memoryless property.
-
D.
isHeavyTailed
Indicates that a distribution has a high probability of extreme values, with tails that decay more slowly than those of an exponential or normal distribution.
-
E.
hasInterval
Indicates that something is associated with a specific span or range between two points in time, space, or value.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e2454a158c819093b8e35f5045efb6 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1781c2c808190baf6964ca1eced6f |
completed | April 29, 2026, 3:16 a.m. |
| PD | Predicate disambiguation | batch_69ee62a6245881909506ff502da14137 |
completed | April 26, 2026, 7:08 p.m. |
Created at: April 17, 2026, 3:09 p.m.